NIRS在爐甘石及其炮制品質(zhì)量控制中的應(yīng)用研究

NIRS在爐甘石及其炮制品質(zhì)量控制中的應(yīng)用研究NIRS在爐甘石及其炮制品質(zhì)量控制中的應(yīng)用研究

摘要：爐甘石及其炮制品是傳統(tǒng)中藥材和制劑中的重要組成部分，其質(zhì)量控制對(duì)于保證中藥的療效和安全性具有重要意義。然而，傳統(tǒng)的質(zhì)量控制方法往往需要耗費(fèi)大量時(shí)間和資源。因此，本研究采用近紅外光譜技術(shù)（NIRS）作為一種快速、非破壞性的分析方法，對(duì)爐甘石及其炮制品的質(zhì)量控制進(jìn)行了深入研究。

NIRS原理：近紅外光譜技術(shù)是一種基于物質(zhì)分子的振動(dòng)與轉(zhuǎn)動(dòng)引起的光譜變化的分析方法。通過對(duì)物質(zhì)在近紅外波段的吸收光譜進(jìn)行采集和分析，可以快速獲得樣品的化學(xué)組成、質(zhì)量參數(shù)等信息。

實(shí)驗(yàn)設(shè)計(jì)：本研究選取了10批不同產(chǎn)地、不同炮制工藝的爐甘石樣品作為實(shí)驗(yàn)對(duì)象。首先，對(duì)樣品進(jìn)行了傳統(tǒng)的質(zhì)量控制指標(biāo)測(cè)定，包括總灰分、揮發(fā)分、水分、微生物限度等；然后，使用NIRS儀器對(duì)樣品進(jìn)行了近紅外光譜掃描，獲取吸收光譜數(shù)據(jù)；最后，使用多元回歸分析方法建立了各個(gè)質(zhì)量指標(biāo)與近紅外光譜數(shù)據(jù)之間的定量模型。

結(jié)果與討論：通過對(duì)爐甘石樣品的傳統(tǒng)質(zhì)量控制指標(biāo)測(cè)定，我們發(fā)現(xiàn)不同炮制工藝對(duì)爐甘石的化學(xué)成分和質(zhì)量參數(shù)有顯著影響。而通過NIRS分析發(fā)現(xiàn)，爐甘石及其炮制品在近紅外波段的光譜特征明顯不同。進(jìn)一步的多元回歸分析表明，通過建立各個(gè)質(zhì)量指標(biāo)與近紅外光譜數(shù)據(jù)之間的定量模型，可以準(zhǔn)確預(yù)測(cè)樣品的質(zhì)量參數(shù)。其中，總灰分和揮發(fā)分與近紅外光譜的吸收光譜峰強(qiáng)度有較強(qiáng)的相關(guān)性，水分和微生物限度則與吸收光譜峰位的變化關(guān)系密切。

結(jié)論：本研究結(jié)果表明，NIRS技術(shù)在爐甘石及其炮制品質(zhì)量控制中具有良好的應(yīng)用前景。相較于傳統(tǒng)的質(zhì)量分析方法，NIRS具有非破壞性、高效快速、經(jīng)濟(jì)實(shí)用等優(yōu)點(diǎn)。通過建立定量模型，可以準(zhǔn)確預(yù)測(cè)樣品的質(zhì)量參數(shù)，提高質(zhì)量控制的準(zhǔn)確性和效率。然而，由于爐甘石及其炮制品樣品的復(fù)雜性和差異性，仍需要進(jìn)一步優(yōu)化NIRS方法以提高預(yù)測(cè)精度。另外，為確保質(zhì)量控制的可靠性，還需結(jié)合傳統(tǒng)分析方法，綜合分析結(jié)果。

關(guān)鍵詞：爐甘石；炮制品；質(zhì)量控制；NIRS；近紅外光譜

Abstract:LugenShihanditsprocessedproductsareimportantcomponentsintraditionalChinesemedicine.ThequalitycontrolofLugenShihisofgreatsignificanceforensuringthetherapeuticefficacyandsafetyoftraditionalChinesemedicine.However,traditionalqualitycontrolmethodsoftenrequirealotoftimeandresources.Therefore,inthisstudy,near-infraredspectroscopy(NIRS)wasusedasafastandnon-destructiveanalyticalmethodtoconductin-depthresearchonthequalitycontrolofLugenShihanditsprocessedproducts.

PrincipleofNIRS:Near-infraredspectroscopyisananalyticalmethodbasedonthespectralchangescausedbythevibrationandrotationofmolecularsubstances.Bycollectingandanalyzingtheabsorptionspectraofsubstancesinthenear-infraredwavelengthrange,informationsuchasthechemicalcompositionandqualityparametersofthesamplecanbequicklyobtained.

Experimentaldesign:Inthisstudy,10batchesofLugenShihsampleswithdifferentoriginsandprocessedtechnologieswereselectedastheexperimentalobjects.Firstly,thetraditionalqualitycontrolindicatorsofthesamplesweredetermined,includingtotalashcontent,volatilecontent,moisturecontent,microbiallimit,etc.Then,thesampleswerescannedbyaNIRSinstrumenttoobtaintheabsorptionspectradata.Finally,multivariateregressionanalysiswasusedtoestablishquantitativemodelsbetweeneachqualityindicatorandthenear-infraredspectraldata.

Resultsanddiscussion:ThroughthedeterminationofthetraditionalqualitycontrolindicatorsofLugenShihsamples,itwasfoundthatdifferentprocessingtechniqueshadsignificanteffectsonthechemicalcompositionandqualityparametersofLugenShih.ThroughNIRSanalysis,itwasfoundthatthespectralcharacteristicsofLugenShihanditsprocessedproductsinthenear-infraredwavelengthrangeweresignificantlydifferent.Furthermultivariateregressionanalysisshowedthatbyestablishingquantitativemodelsbetweeneachqualityindicatorandthenear-infraredspectraldata,thequalityparametersofthesamplescouldbeaccuratelypredicted.Amongthem,thetotalashcontentandvolatilecontentshowedastrongcorrelationwiththepeakintensityoftheabsorptionspectruminthenear-infraredwavelengthrange,whilethemoisturecontentandmicrobiallimitwerecloselyrelatedtothechangesinthepeakpositionoftheabsorptionspectrum.

Conclusion:TheresultsofthisstudyindicatethatNIRStechnologyhaspromisingapplicationsinthequalitycontrolofLugenShihanditsprocessedproducts.Comparedwithtraditionalqualityanalysismethods,NIRShasadvantagessuchasnon-destructive,efficient,fast,andcost-effective.Byestablishingquantitativemodels,thequalityparametersofthesamplescanbeaccuratelypredicted,improvingtheaccuracyandefficiencyofqualitycontrol.However,duetothecomplexityanddiversityofLugenShihanditsprocessedproducts,theNIRSmethodstillneedstobefurtheroptimizedtoimprovethepredictionaccuracy.Inaddition,toensurethereliabilityofqualitycontrol,itisnecessarytocombinetraditionalanalysismethodsandcomprehensivelyanalyzetheresults.

Keywords:LugenShih;processedproducts;qualitycontrol;